CN114996321A - Data acquisition method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a data acquisition method, a data acquisition device, computer equipment and a storage medium. The method comprises the following steps: displaying a data analysis result obtained by performing data analysis on service data of a plurality of target users in advance on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order; responding to the selection operation of the user on the target user in the data analysis result, and acquiring experience sharing data of the target user; and displaying experience sharing data of the target user on a page. By adopting the method, the flexibility and the efficiency of data acquisition can be improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data acquisition method and apparatus, a computer device, and a storage medium.
Background
In the field of insurance business, insurance products and insurance knowledge have large data volume and faster alternation speed. Therefore, insurance practitioners need to learn constantly to be able to master various insurance products and insurance knowledge. In the traditional method, insurance employees can generally obtain the latest related data of insurance products, insurance knowledge and the like through an offline communication channel or a channel that trainers give lessons on the spot.
However, in the conventional method, the manner of acquiring the latest relevant data in terms of insurance products, insurance knowledge and the like is too limited and has low efficiency.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a data acquisition method, an apparatus, a computer device and a storage medium, which can improve flexibility and efficiency of data acquisition.
In a first aspect, the present application provides a data acquisition method. The method comprises the following steps:
displaying a data analysis result obtained by performing data analysis on service data of a plurality of target users in advance on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order; responding to the selection operation of the target user in the data analysis result, and acquiring experience sharing data of the target user; and displaying experience sharing data of the target user on a page.
In one embodiment, the method further includes:
acquiring service data of each user under different service data analysis indexes in a preset period from a service system; determining a plurality of target users from each user according to the service data of each user under different service data analysis indexes; and aiming at each business data analysis index, performing data analysis on the business data of the multiple target users under the business data analysis index to generate a data analysis result corresponding to the business data analysis index.
In one embodiment, determining a plurality of target users from each user according to the service data of each user under different service data analysis indexes includes:
according to each service data analysis index, sequencing the service data of each user under the service data analysis index according to the size sequence, and generating a first preset sequencing result corresponding to the service data analysis index; and taking the users with the ranking in the previous preset ranking as target users from the first preset ranking result.
In one embodiment, the data analysis result comprises a second preset sorting result of the service data of the plurality of target users under different service data analysis indexes; aiming at each business data analysis index, performing data analysis on business data of a plurality of target users under different business data analysis indexes to generate a data analysis result corresponding to the business data analysis index, and the method comprises the following steps:
and aiming at each service data analysis index, sequencing the service data of a plurality of target users under different service data analysis indexes according to the size sequence, and generating a second preset sequencing result corresponding to the service data analysis index.
In one embodiment, the different business data analysis indexes include a first business data analysis index and a second business data analysis index; the first service data analysis index comprises at least one of accumulated underwriting period payment fee, accumulated underwriting value and accumulated underwriting number; the second service data analysis index comprises at least one of a member average underwriting premium, a month average underwriting premium, an year average underwriting premium, a member average underwriting value, a month average underwriting value and an year average underwriting value.
In one embodiment, for each service data analysis index, sorting service data of multiple target users under different service data analysis indexes according to a size sequence, and generating a second preset sorting result corresponding to the service data analysis index includes:
aiming at the first business data analysis index, performing data analysis on the business data of a plurality of target users under the first business data analysis index to generate a second preset sequencing result corresponding to the first business data analysis index; and aiming at the second business data analysis index, performing data analysis on the business data of the plurality of target users under the second business data analysis index to generate a second preset sequencing result corresponding to the second business data analysis index.
In one embodiment, the experience sharing data of the target user includes at least one of text data, chart data, video data and audio data used by the target user for sharing experience.
In a second aspect, the present application further provides a data acquisition apparatus. The device comprises:
the first display module is used for displaying a data analysis result obtained by performing data analysis on service data of a plurality of target users in advance on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order;
the first acquisition module is used for responding to selection operation of a target user in the data analysis result and acquiring experience sharing data of the target user;
and the second display module is used for displaying experience sharing data of the target user on the page.
In a third aspect, the application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the method steps in any of the embodiments of the first aspect described above when executing the computer program.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the method steps of any of the embodiments of the first aspect described above.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program that when executed by a processor performs the method steps of any of the embodiments of the first aspect described above.
According to the data acquisition method, the data acquisition device, the computer equipment and the storage medium, data analysis results obtained by performing data analysis on the service data of a plurality of target users in advance are displayed on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order; responding to the selection operation of the target user in the data analysis result, and acquiring experience sharing data of the target user; and displaying experience sharing data of the target user on a page. According to the technical scheme, after the data analysis result is visually displayed, the user can select the target user in the data analysis result more conveniently on the display page, experience sharing data of the target user can be automatically acquired based on the selection operation of the user, and the user is guided according to the experience sharing data, so that the user can acquire knowledge of excellent agents such as sales ideas and sales methods according to the experience sharing data, and flexibility and efficiency of acquiring the experience sharing data are improved.
Drawings
FIG. 1 is a diagram illustrating an internal structure of a computer device according to an embodiment;
FIG. 2 is a schematic flow chart diagram illustrating a data acquisition method in one embodiment;
FIG. 3 is a schematic flow chart diagram illustrating the generation of data analysis results in one embodiment;
FIG. 4 is a schematic flow diagram illustrating the generation of a target user in one embodiment;
FIG. 5 is a schematic flow chart diagram illustrating a data acquisition method in one embodiment;
FIG. 6 is a schematic diagram of a presentation page in one embodiment;
FIG. 7 is a block diagram showing the structure of a data acquisition apparatus according to one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
The data acquisition method provided by the application can be applied to computer equipment, the computer equipment can be a server or a terminal, wherein the server can be one server or a server cluster consisting of a plurality of servers.
Taking the example of a computer device being a server, FIG. 1 shows a block diagram of a server, as shown in FIG. 1, the computer device including a processor, memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The database of the computer device is used for storing data acquisition data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data acquisition method.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is a block diagram of only a portion of the architecture associated with the subject application, and does not constitute a limitation on the servers to which the subject application applies, and that servers may alternatively include more or fewer components than those shown, or combine certain components, or have a different arrangement of components.
It should be noted that the execution subject of the embodiments of the present application may be a computer device, or may be a data acquisition device, and the following method embodiments will be described with reference to a computer device as an execution subject.
In one embodiment, as shown in fig. 2, which illustrates a flowchart of data acquisition provided by an embodiment of the present application, the method may include the following steps:
In the insurance field, the performance data can include but is not limited to data such as term insurance premium, insurance value, insurance number and the like of the user, different business systems can include an organization table, an agent table, a charge detail table, a dangerous seed table, a client table and the like, and corresponding business data can be acquired by performing correlation analysis on the data acquired from the different business systems.
Since the service data of the target user is located in the first preset ranking result of the service data of all the users, after the service data of all the users are obtained from the different service systems, the first preset ranking result is obtained by ranking the service data of all the users, and then the users located in the first preset ranking can be screened out to be used as the target users, and then the service data of the target users can be obtained. And finally, after the acquired service data of the target user is subjected to data analysis, a corresponding data analysis result can be obtained, and the data analysis result can be output and displayed on a preset display page.
And 240, responding to the selection operation of the target user in the data analysis result, and acquiring experience sharing data of the target user.
On the display page, a user can select a target user in the data analysis result, so that experience sharing data of the target user is obtained by responding to the selection operation of the user on the target user in the data analysis result. Specifically, experience sharing data of the target user may be acquired from a preset database, a corresponding relationship between the target user and the experience sharing data is stored in the preset database in advance, and the experience sharing data corresponding to the target user may be acquired based on the corresponding relationship. Experience sharing data for a target user may include performance data, text data for sharing experience, chart data, video data, audio data, etc. for the target user.
And step 260, displaying experience sharing data of the target user on a page.
The acquired experience sharing data can be displayed on the page after being rendered, and can be displayed according to preset parameters such as positions and formats during displaying. The user can select and view the displayed experience sharing data on the page, and for experience sharing data in different forms, the corresponding data reading tool can be called to analyze and display specific content of the experience sharing data, for example, if the experience sharing data is in a text form, the text reading tool can be called to analyze and display the text content, and if the experience sharing data is in a video form, the video reading tool can be called to analyze and display the video content, which is not illustrated herein. Further, after the data acquisition method provided by this embodiment is adopted to more flexibly and efficiently acquire the experience sharing data, optionally, other users can quickly acquire knowledge such as the sales idea and the sales method of the superior agent by learning the experience sharing data on the display page, and the user can effectively improve the sales performance and the personal ability of the user by practical application of the learned knowledge such as the sales idea and the sales method of the superior agent.
In the embodiment, a data analysis result obtained by performing data analysis on service data of a plurality of target users in advance is displayed on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order; responding to the selection operation of the user on the target user in the data analysis result, and acquiring experience sharing data of the target user; and displaying experience sharing data of the target user on a page. After the data analysis result is visually displayed, a user can select a target user in the data analysis result more conveniently on a display page, experience sharing data of the target user can be automatically acquired based on the selection operation of the user, and the user is guided according to the experience sharing data, so that the user can acquire knowledge of excellent agents such as sales ideas and sales methods according to the experience sharing data, and flexibility and efficiency of acquiring the experience sharing data are improved.
In one embodiment, as shown in fig. 3, which illustrates a flowchart of data acquisition provided in an embodiment of the present application, specifically, a possible process for generating data analysis results, the method may include the following steps:
and step 320, acquiring the service data of each user under different service data analysis indexes in a preset period from the service system.
The preset period can be set according to actual conditions, and preferably, the preset period can be set to last one year or last three years. The business data analysis index is an index for judging the performance of each user. Taking the insurance field as an example, the service data analysis index may specifically include a first service data analysis index and a second service data analysis index, the first service data analysis index may include at least one of accumulated underwriting period payment, accumulated underwriting value and accumulated underwriting number, and the second service data analysis index may include at least one of piece-average underwriting period payment, month-average underwriting period payment, year-average underwriting period payment, piece-average underwriting value, month-average underwriting value and year-average underwriting value.
And 340, determining a plurality of target users from each user according to the service data of each user under different service data analysis indexes.
Therefore, a plurality of target users can be determined from the users according to the service data of the users under the first service data analysis index and the service data of the users under the second service data analysis index. Specifically, the service data of all users under different service data analysis indexes are sorted from high to low to obtain a first preset sorting result, and then the users with the previous preset ranking can be screened out to serve as target users.
And 360, aiming at each business data analysis index, performing data analysis on the business data of the multiple target users under the business data analysis index to generate a data analysis result corresponding to the business data analysis index.
When the data analysis result is generated by performing data analysis on the service data of the target user, the data analysis may also be performed according to different service data analysis indexes, that is, a first service data analysis index and a second service data analysis index, so that the obtained data analysis result is a result under different service data analysis indexes.
In this embodiment, service data of each user under different service data analysis indexes in a preset period is acquired from a service system, a plurality of target users are determined from each user according to the service data of each user under different service data analysis indexes, and for each service data analysis index, the service data of the plurality of target users under the service data analysis indexes is subjected to data analysis, so as to generate a data analysis result corresponding to the service data analysis index. By acquiring the business data under different business data analysis indexes, the data diversification during the target user determination is increased, so that diversified target users can be determined, the data analysis result obtained by data analysis is more reliable, and the diversification of experience shared data is improved; and the service data of a plurality of target users under different service data analysis indexes are subjected to data analysis, so that the service data of the target users are analyzed in a multi-dimensional and deep manner.
In one embodiment, as shown in fig. 4, which illustrates a flowchart of data acquisition provided by an embodiment of the present application, specifically, a possible process of generating a target user, the method may include the following steps:
and step 420, aiming at each service data analysis index, sequencing the service data of each user under the service data analysis index according to the size sequence, and generating a first preset sequencing result corresponding to the service data analysis index.
The business data analysis indexes can comprise a first business data analysis index and a second business data analysis index, aiming at the accumulated underwriting period paying fee, the accumulated underwriting value and the accumulated underwriting number under the first business data analysis index, the business data of each user under the accumulated underwriting period paying fee, the accumulated underwriting value and the accumulated underwriting number are sorted according to the sequence of magnitude, and therefore a corresponding first preset sorting result is generated; and aiming at the condition average underwriting period paying premium, the monthly average underwriting period paying premium, the yearly average underwriting period paying premium, the condition average underwriting value, the monthly average underwriting value and the yearly average underwriting value under the second service data analysis index, the service data of each user under the condition of the condition average underwriting period paying premium, the monthly average underwriting period paying premium, the yearly average underwriting period paying premium, the condition average underwriting value, the monthly average underwriting value and the yearly average underwriting value are sorted according to the size sequence, so that a corresponding first preset sorting result is generated.
And step 440, taking the users with the ranking in the front preset ranking as target users from the first preset ranking result.
The number of previous preset names may be set according to actual conditions, for example, the number of previous 100 names may be set, and the number of previous 200 names may be set in a special area having a high performance for a part. Therefore, users ranked in the top preset rank order from the first preset ranking result can be taken as target users, and for example, users ranked in the top 100 names from the first preset ranking result can be taken as target users.
In this embodiment, the service data of each user under the service data analysis indexes are sorted according to the size sequence according to the service data analysis indexes, so as to generate a first preset sorting result corresponding to the service data analysis indexes, and the user with the sorting order in the previous preset name is taken as the target user from the first preset sorting result, so that the target user with the symbol requirement can be determined quickly and efficiently, and the efficiency of analyzing the service data of the target user is improved.
In one embodiment, the data analysis result comprises a second preset sorting result of the service data of the plurality of target users under different service data analysis indexes; aiming at each business data analysis index, performing data analysis on business data of a plurality of target users under different business data analysis indexes to generate a data analysis result corresponding to the business data analysis index, and the method comprises the following steps: and sequencing the service data of the plurality of target users under different service data analysis indexes according to the size sequence aiming at each service data analysis index, and generating a second preset sequencing result corresponding to the service data analysis index.
When a second preset sorting result is generated, performing data analysis on the business data of the multiple target users under the first business data analysis index aiming at the first business data analysis index to generate a second preset sorting result corresponding to the first business data analysis index; and aiming at the second business data analysis index, performing data analysis on the business data of the plurality of target users under the second business data analysis index to generate a second preset sequencing result corresponding to the second business data analysis index.
According to different business data analysis indexes, the business data of a plurality of target users can be subjected to statistical analysis and sorting processing, so that a second preset sorting result under each business data analysis index is generated. Specifically, the service data of the plurality of target users can be subjected to data analysis aiming at the accumulated underwriting period payment fee, the accumulated underwriting value and the accumulated underwriting number under the first service data analysis index, so that second preset sequencing results corresponding to the accumulated underwriting period payment fee, the accumulated underwriting value and the accumulated underwriting number are generated; and aiming at the condition average underwriting period paying premium, the monthly average underwriting period paying premium, the yearly average underwriting period paying premium, the condition average underwriting value, the monthly average underwriting value and the yearly average underwriting value under the second service data analysis index, respectively carrying out data analysis on the service data of the plurality of target users so as to generate second preset sequencing results corresponding to the condition average underwriting period paying premium, the monthly average underwriting period paying premium, the condition average underwriting value, the monthly average underwriting value and the yearly average underwriting value respectively.
The ranks of the target users in the second preset sorting results corresponding to different service data analysis indexes may be different, so that different second preset sorting results are provided for the users, and the experience sharing data acquired by the users can improve the overall performance level and the personal ability of the users more pertinently. For example, if the user wants to increase the accumulated underwriting premium, the corresponding target user may be selected through a second preset sorting result corresponding to the accumulated underwriting premium, so as to obtain experience sharing data corresponding to the target user; if the user wants to improve the piece-all underwriting value, the corresponding target user can be selected through the second preset sorting result corresponding to the piece-all underwriting value, and accordingly the experience sharing data corresponding to the target user is obtained.
In the embodiment, the service data of the plurality of target users under different service data analysis indexes are sorted according to the size sequence according to each service data analysis index, and the second preset sorting result corresponding to the service data analysis index is generated, so that a plurality of different second preset sorting results are provided for the users, the users can acquire diversified experience sharing data, and the flexibility of acquiring the experience sharing data is further improved.
In one embodiment, as shown in fig. 5, which shows a flowchart of data acquisition provided by an embodiment of the present application, the method may include the following steps:
and step 501, acquiring service data of a target user from an organization table, an agent table, a charge list, a dangerous seed table and a client table.
Specifically, the top 100-ranked agent-level charge detail of the three-level organization under the last year and the last three years can be selected according to the underwriting time.
Step 502, classifying and summarizing the business data of the target user according to the business data analysis indexes, and generating a data analysis result under the first business data analysis index and a data analysis result under the second business data analysis index.
Specifically, the data analysis result under the first business data analysis index may also be referred to as a high-yield series result table, and the data analysis result under the second business data analysis index may also be referred to as a high-yield series result table.
Step 503, calling experience sharing data of the target user from a preset database through Java according to the selection operation of the user, and returning to the front-end display page.
Specifically, the preset database stores unstructured experience sharing data such as performance data of a target user, text data for sharing experience, chart data, video data, audio data and the like in advance.
In this embodiment, after the data analysis result is visually displayed, the user can select a target user in the data analysis result more conveniently on the display page, and then experience sharing data of the target user can be automatically obtained based on the selection operation of the user, and the user is guided according to the experience sharing data, so that the user obtains knowledge of excellent agents such as a sales idea and a sales method according to the experience sharing data, and flexibility and efficiency of obtaining the experience sharing data are improved.
In one embodiment, the determined target users may include 300 cumulative underwriting performances of more than three levels of institutions ranked 100 top in the cumulative period of three years, and 100 top in the cumulative underwriting value of the last year; the accumulated number of underwritings of more than 300 three-level institutions in three years is ranked 100 times; 300 pieces of more than three-level organizations with underwriting performance of nearly three years are uniformly paid 100 times before premium ranking, and pieces of nearly one year are uniformly paid 100 times before underwriting value ranking; more than 300 three-level organizations pay premium ranking top 100 in the annual average underwriting period of nearly three years of underwriting performance, and pay premium ranking top 100 in the annual average underwriting value of nearly one year; more than 300 three-level organizations pay the premium ranking top 100 times in the monthly average underwriting period of nearly three years of underwriting performance, and pay the premium ranking top 100 times in the monthly average underwriting value of nearly one year; for parts of provinces with excellent performance, for example, taking 200 agents before the Shandong and Sichuan institutions; the above data all reach the dimension of the agent, and do not include the gift, the agent is working and does not have the plan of leaving the job at present (i.e. the time of leaving the job is empty), and the policy does not include the withdrawal and the hesitation period refund.
Specifically, as shown in fig. 6, fig. 6 is a schematic view of a display page provided in the embodiment of the present application, a middle map on the page may default to display the number of distributed persons of the second-level organization agents 100 before the ranking of the whole company with the multi-product underwriting value in the last year, the last year or last three years and the high or multi-product are controlled and displayed by a switch button, and the corresponding options of the multi-product are accumulated period payment premium, accumulated underwriting value, and accumulated number of underwriting; high yield corresponds to two levels of menus: the premium and value, the piece average, the year average and the month average are paid in term. The data analysis result, namely the second preset sequencing result, can be displayed at the upper right position of the page, according to the condition of the middle map, if the yield is high, the accumulated period insurance premium or the accumulated insurance value or the accumulated insurance number is displayed, the accumulated period insurance premium or the accumulated insurance value or the accumulated insurance number can be selected and switched, and if the selection of the middle map is high, the second-level option switching is displayed, and the period insurance premium, the insurance value, the condition average, the year average and the month average are respectively. The right-middle position of the page may display the underwriting timeline for the agent and may be set to slide manually from side-to-side. The lower right position of the page can display the acquired experience sharing data, and an input box can be further arranged, so that a user can conveniently input characters, voice and the like to communicate with a target user. The upper left position of the page may display product analysis results for different levels of organization. The left middle position of the page can be synchronized with the middle map display result according to the middle map condition, for example, if the middle map is selected to be productive, the accumulated period insurance fee or the accumulated insurance value or the accumulated insurance number is displayed, the three can be selectively switched, and if the middle map is selected to be productive, the two-level option switching is displayed, the period insurance fee, the insurance value and the condition average, the year average and the month average are respectively. The lower left position of the page may display an age group analysis chart, an underwriting time analysis chart (including morning evening, weekday, holiday, etc.) of the policy client. The setting position and format of the page are exemplary and may be adjusted according to actual requirements, which is not specifically limited in this embodiment.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a data acquisition apparatus for implementing the data acquisition method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the data acquisition device provided below can refer to the limitations on the data acquisition method in the foregoing, and details are not described here.
In one embodiment, as shown in fig. 7, there is provided a data acquisition apparatus 700 comprising a first presentation module 702, a first acquisition module 704, and a second presentation module 706, wherein:
a first display module 702, configured to display, on a page, a data analysis result obtained by performing data analysis on service data of multiple target users in advance; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order;
a first obtaining module 704, configured to obtain experience sharing data of a target user in response to a selection operation on the target user in the data analysis result;
and a second display module 706, configured to display the experience sharing data of the target user on a page.
In one embodiment, the data acquiring apparatus further includes a second acquiring module, a determining module, and a generating module, wherein:
the second acquisition module is used for acquiring the service data of each user under different service data analysis indexes in a preset period from the service system;
the determining module is used for determining a plurality of target users from the users according to the service data of the users under different service data analysis indexes;
and the generating module is used for carrying out data analysis on the service data of the plurality of target users under the service data analysis indexes aiming at each service data analysis index to generate a data analysis result corresponding to the service data analysis index.
In an embodiment, the determining module is specifically configured to sort, for each service data analysis index, service data of each user under the service data analysis index according to a size order, and generate a first preset sorting result corresponding to the service data analysis index; and taking the users with the ranking in the previous preset ranking as target users from the first preset ranking result.
In one embodiment, the data analysis result comprises a second preset sorting result of the service data of the plurality of target users under different service data analysis indexes; the generating module is specifically configured to sort, according to each service data analysis index, service data of multiple target users under different service data analysis indexes according to a size sequence, and generate a second preset sorting result corresponding to the service data analysis index.
In one embodiment, the different business data analysis indicators include a first business data analysis indicator and a second business data analysis indicator; the first service data analysis index comprises at least one of accumulated underwriting period payment fee, accumulated underwriting value and accumulated underwriting number; the second service data analysis index comprises at least one of a member average underwriting premium, a month average underwriting premium, an year average underwriting premium, a member average underwriting value, a month average underwriting value and an year average underwriting value.
In an embodiment, the generating module is further configured to perform data analysis on the service data of the plurality of target users under the first service data analysis index according to the first service data analysis index, and generate a second preset ordering result corresponding to the first service data analysis index; and aiming at the second business data analysis index, performing data analysis on the business data of the plurality of target users under the second business data analysis index to generate a second preset sequencing result corresponding to the second business data analysis index.
In one embodiment, the experience sharing data of the target user includes at least one of text data, chart data, video data and audio data used by the target user for sharing experience.
The modules in the data acquisition device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
displaying a data analysis result obtained by performing data analysis on service data of a plurality of target users in advance on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order; responding to the selection operation of the target user in the data analysis result, and acquiring experience sharing data of the target user; and displaying experience sharing data of the target user on a page.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring service data of each user under different service data analysis indexes in a preset period from a service system; determining a plurality of target users from each user according to the service data of each user under different service data analysis indexes; and aiming at each business data analysis index, performing data analysis on the business data of the multiple target users under the business data analysis index to generate a data analysis result corresponding to the business data analysis index.
In one embodiment, the processor when executing the computer program further performs the steps of:
according to each service data analysis index, sequencing the service data of each user under the service data analysis index according to the size sequence, and generating a first preset sequencing result corresponding to the service data analysis index; and taking the users with the ranking in the previous preset ranking as target users from the first preset ranking result.
In one embodiment, the data analysis result comprises a second preset sequencing result of the service data of the plurality of target users under different service data analysis indexes;
the processor when executing the computer program further realizes the following steps:
and sequencing the service data of the plurality of target users under different service data analysis indexes according to the size sequence aiming at each service data analysis index, and generating a second preset sequencing result corresponding to the service data analysis index.
In one embodiment, the different business data analysis indicators include a first business data analysis indicator and a second business data analysis indicator; the first service data analysis index comprises at least one of accumulated underwriting period payment fee, accumulated underwriting value and accumulated underwriting number; the second service data analysis index comprises at least one of a member average underwriting premium, a month average underwriting premium, an year average underwriting premium, a member average underwriting value, a month average underwriting value and an year average underwriting value.
In one embodiment, the processor when executing the computer program further performs the steps of:
aiming at the first business data analysis index, performing data analysis on the business data of a plurality of target users under the first business data analysis index to generate a second preset sequencing result corresponding to the first business data analysis index; and aiming at the second business data analysis index, performing data analysis on the business data of the plurality of target users under the second business data analysis index to generate a second preset sequencing result corresponding to the second business data analysis index.
In one embodiment, the experience sharing data of the target user includes at least one of text data, chart data, video data and audio data used by the target user for sharing experience.
The implementation principle and technical effect of the computer device provided by the embodiment of the present application are similar to those of the method embodiment described above, and are not described herein again.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, performs the steps of:
displaying a data analysis result obtained by performing data analysis on service data of a plurality of target users in advance on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order; responding to the selection operation of the target user in the data analysis result, and acquiring experience sharing data of the target user; and displaying experience sharing data of the target user on a page.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring service data of each user under different service data analysis indexes in a preset period from a service system; determining a plurality of target users from each user according to the service data of each user under different service data analysis indexes; and aiming at each business data analysis index, performing data analysis on the business data of the multiple target users under the business data analysis index to generate a data analysis result corresponding to the business data analysis index.
In one embodiment, the computer program when executed by the processor further performs the steps of:
according to each service data analysis index, sequencing the service data of each user under the service data analysis index according to the size sequence to generate a first preset sequencing result corresponding to the service data analysis index; and taking the users with the ranking in the front preset ranking as target users from the first preset ranking result.
In one embodiment, the data analysis result comprises a second preset sorting result of the service data of the plurality of target users under different service data analysis indexes;
the computer program when executed by the processor further realizes the steps of:
and aiming at each service data analysis index, sequencing the service data of a plurality of target users under different service data analysis indexes according to the size sequence, and generating a second preset sequencing result corresponding to the service data analysis index.
In one embodiment, the different business data analysis indicators include a first business data analysis indicator and a second business data analysis indicator; the first service data analysis index comprises at least one of accumulated underwriting period payment fee, accumulated underwriting value and accumulated underwriting number; the second service data analysis index comprises at least one of a member average underwriting premium, a month average underwriting premium, an year average underwriting premium, a member average underwriting value, a month average underwriting value and an year average underwriting value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
aiming at the first business data analysis index, performing data analysis on the business data of a plurality of target users under the first business data analysis index to generate a second preset sequencing result corresponding to the first business data analysis index; and aiming at the second business data analysis index, performing data analysis on the business data of the plurality of target users under the second business data analysis index to generate a second preset sequencing result corresponding to the second business data analysis index.
In one embodiment, the experience sharing data of the target user includes at least one of text data, chart data, video data and audio data used by the target user for sharing experience.
The implementation principle and technical effect of the computer-readable storage medium provided by this embodiment are similar to those of the above-described method embodiment, and are not described herein again.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
displaying a data analysis result obtained by performing data analysis on service data of a plurality of target users in advance on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order; responding to the selection operation of the target user in the data analysis result, and acquiring experience sharing data of the target user; and displaying experience sharing data of the target user on a page.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring service data of each user under different service data analysis indexes in a preset period from a service system; determining a plurality of target users from each user according to the service data of each user under different service data analysis indexes; and aiming at each business data analysis index, performing data analysis on the business data of the multiple target users under the business data analysis index to generate a data analysis result corresponding to the business data analysis index.
In one embodiment, the computer program when executed by the processor further performs the steps of:
according to each service data analysis index, sequencing the service data of each user under the service data analysis index according to the size sequence, and generating a first preset sequencing result corresponding to the service data analysis index; and taking the users with the ranking in the previous preset ranking as target users from the first preset ranking result.
In one embodiment, the data analysis result comprises a second preset sorting result of the service data of the plurality of target users under different service data analysis indexes;
the computer program when executed by the processor further realizes the steps of:
and aiming at each service data analysis index, sequencing the service data of a plurality of target users under different service data analysis indexes according to the size sequence, and generating a second preset sequencing result corresponding to the service data analysis index.
In one embodiment, the different business data analysis indicators include a first business data analysis indicator and a second business data analysis indicator; the first service data analysis index comprises at least one of accumulated underwriting period payment fee, accumulated underwriting value and accumulated underwriting number; the second service data analysis index comprises at least one of a piece average underwriting premium, a month average underwriting premium, an year average underwriting premium, a piece average underwriting value, a month average underwriting value and a year average underwriting value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
aiming at the first business data analysis index, performing data analysis on the business data of a plurality of target users under the first business data analysis index to generate a second preset sequencing result corresponding to the first business data analysis index; and aiming at the second business data analysis index, performing data analysis on the business data of the plurality of target users under the second business data analysis index to generate a second preset sequencing result corresponding to the second business data analysis index.
In one embodiment, the experience sharing data of the target user includes at least one of text data, chart data, video data and audio data used by the target user for sharing experience.
The computer program product provided in this embodiment has similar implementation principles and technical effects to those of the method embodiments described above, and is not described herein again.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases involved in the embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (11)
1. A method for data acquisition, the method comprising:
displaying a data analysis result obtained by performing data analysis on service data of a plurality of target users in advance on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order;
responding to the selection operation of the target user in the data analysis result, and acquiring experience sharing data of the target user;
and displaying experience sharing data of the target user on the page.
2. The method of claim 1, further comprising:
acquiring service data of each user under different service data analysis indexes in a preset period from a service system;
determining the target users from the users according to the service data of the users under different service data analysis indexes;
and aiming at each business data analysis index, performing data analysis on the business data of the target users under the business data analysis index to generate a data analysis result corresponding to the business data analysis index.
3. The method according to claim 2, wherein the determining the target users from the users according to the service data of the users under different service data analysis indexes comprises:
aiming at each service data analysis index, sequencing the service data of each user under the service data analysis index according to the size sequence, and generating a first preset sequencing result corresponding to the service data analysis index;
and taking the users with the ranking in the previous preset ranking as the target users from the first preset ranking result.
4. The method according to claim 2 or 3, wherein the data analysis result comprises a second preset sorting result of the business data of a plurality of target users under different business data analysis indexes; the data analysis of the service data of the target users under different service data analysis indexes aiming at each service data analysis index to generate a data analysis result corresponding to the service data analysis index includes:
and aiming at each business data analysis index, sequencing the business data of the target users under different business data analysis indexes according to a size sequence, and generating a second preset sequencing result corresponding to the business data analysis index.
5. The method of claim 4, wherein the different business data analysis indicators comprise a first business data analysis indicator and a second business data analysis indicator;
the first business data analysis index comprises at least one of accumulated underwriting period payment fee, accumulated underwriting value and accumulated underwriting number; the second service data analysis index comprises at least one of member average underwriting premium, monthly average underwriting premium, yearly average underwriting premium, member average underwriting value, monthly average underwriting value and yearly average underwriting value.
6. The method according to claim 5, wherein the sorting, for each of the service data analysis indexes, service data of a plurality of the target users under different service data analysis indexes according to a size order to generate the second preset sorting result corresponding to the service data analysis index includes:
aiming at the first business data analysis index, performing data analysis on business data of a plurality of target users under the first business data analysis index to generate a second preset sequencing result corresponding to the first business data analysis index;
and aiming at the second business data analysis index, performing data analysis on the business data of the target users under the second business data analysis index to generate a second preset sequencing result corresponding to the second business data analysis index.
7. The method of claim 1, wherein the experience sharing data of the target user comprises at least one of text data, graph data, video data, and audio data used by the target user to share experience.
8. A data acquisition apparatus, characterized in that the apparatus comprises:
the first display module is used for displaying data analysis results obtained by performing data analysis on service data of a plurality of target users in advance on a page; the business data of the target user is positioned in the first preset ranking result of the business data of all the users with the first preset ranking order;
the first acquisition module is used for responding to the selection operation of the target user in the data analysis result and acquiring experience sharing data of the target user;
and the second display module is used for displaying the experience sharing data of the target user on the page.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
11. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 7 when executed by a processor.
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Application publication date: 20220902 |